Neighborhood influences on children and youth are the subjects of increasing numbers of studies, but there is concern that these investigations may be biased, because they typically rely on census-based units as proxies for neighborhoods. This pilot study tested several methods of defining neighborhood units based on maps drawn by residents, and compared the results with census definitions of neighborhoods. When residents' maps were used to create neighborhood boundary definitions, the resulting units covered different space and produced different social indicator values than did census-defined units. Residents' agreement about their neighborhoods' boundaries differed among the neighborhoods studied. This pilot study suggests that discrepancies between researcher and resident-defined neighborhoods are a possible source of bias in studies of neighborhood effects.
Objective: To better understand how neighborhood and individual factors are related to child maltreatment.Method: Using an ecological framework, a multi-level model (Hierarchical Linear Modeling) was used to analyze neighborhood structural conditions and individual risk factors for child abuse and neglect. Parents (n = 400) of children under the age of 18 were systematically selected from 20 randomly selected census-defined block groups with different risk profiles for child maltreatment report rates. Parents were administered the Neighborhood Environment for Children Rating Scales, the Child Abuse Potential Inventory, the Zimet measure of social support, and the Conflict Tactics Scales as a measure of childhood experience with violence.Results: Neighborhood factors of impoverishment and child care burden significantly affect child abuse potential after controlling for individual risk factors. However, neighborhood effects are weaker than they appear to be in aggregate studies of official child maltreatment reports. Variation in child abuse potential within neighborhoods is greater than between neighborhoods. However, adverse neighborhood conditions weakened the effects of known individual risk and protective factors, such as violence in the family of origin.Conclusions: If individual potential for child maltreatment is more evenly distributed across neighborhoods than reported maltreatment, then neighborhood and community play an important, if as yet unspecified, role in child maltreatment. Multi-level models are a promising research strategy for disentangling the complex interactions of individual and contextual factors in child maltreatment. (C) 1999 Elsevier Science Ltd.
The geographic concentration of poverty and affluence is examined for the 100 largest metropolitan areas. Concentration of poverty and affluence are uncorrelated, but metropolitan areas can be classified into five types based on six indices of concentration and affluence. The types differ significantly in their racial and ethnic segregation, the relative advantage of the central city as compared to the suburbs, and the economic inequality in the population, Cities in which both affluence and poverty are highly concentrated differ along all dimensions from cities of the more egalitarian type.
Awareness of worsening conditions in urban areas has led to a growing interest in how neighborhood context affects children. Although the ecological perspective within child development has acknowledged the relevance of community factors, methods of measuring the neighborhood context for children have been quite limited. An approach to measuring neighborhood environments was tested using the average perceptions of caregivers of young children sampled from high- and low-risk block groups. Individual- and aggregate-level reliabilities and discriminant validity were acceptable for dimensions of neighborhood quality and change, participation in block organizations, disorder and incivilities, service usage and quality, and retaliation against adults. However, for measures of neighborhood interaction and the tendency of adults to intervene with children, there was virtually no agreement among respondents within block groups, resulting in poor aggregate reliability. A model of variability may be a more promising way of characterizing neighborhoods along these dimensions.
Using census and administrative agency data for 177 urban census tracts, variation in rates of officially reported child maltreatment is found to be related to structural determinants of community social organization: economic and family resources, residential instability, household and age structure, and geographic proximity of neighborhoods to concentrated poverty. Furthermore, child maltreatment rates are found to be intercorrelated with other indicators of the breakdown of community social control and organization. These other indicators are similarly affected by the structural dimensions of neighborhood context. Children who live in neighborhoods that are characterized by poverty, excessive numbers of children per adult resident, populations turnover, and the concentration of female-headed families are at highest risk of maltreatment. This analysis suggests that child maltreatment is but one manifestation of community social organization and that its occurrence is related to some of the same underlying macro-social conditions that foster other urban problems.